class_docstr: Similar to the official `egcn_h.py`. We only consider the node in a timestamp based subgraph,
  so we need to pay attention to `K` should be less than the min node numbers in all subgraph.
  Please refer to section 3.4 of the paper for the formula.
code: def reset_parameters(self):
      init.xavier_uniform_(self.scorer)
  
imports: import torch
  import torch.nn
  from dgl.nn.pytorch import GraphConv
  from torch.nn import init
  from torch.nn.parameter import Parameter
label_desc: Use image node_id 2 for calling the TopK obj's underlying member method code with example usage: obj.reset_parameters() without return types